Open access
2026
Multi-time-scale system load forecasting based on deep learning
This paper validates that the integrated multiscale attention convolutional network and LSTM framework yield a mean absolute error of 8.8 kW and a root mean square error of 15.5 kW during peak periods, outperforming single-scale architectures.
Hao-Yang Xie, Xi Chen
· Mechanics & Industry · 0 citations